Images of similarity: A visual exploration of optimal similarity metrics and scaling properties of TREC topic‐document sets
Mark Rorvig
Journal of the American Society for Information Science, 1999, vol. 50, issue 8, 639-651
Abstract:
Multiple similarity measures for five TREC topic‐document sets from the LDC TREC Collection Disk 1 are derived from the full text of documents. Each measure on each set is scaled using SAS MDS under ordinal, interval, and MLE assumptions. The resulting 75 permutations are ploted. It is suggested that cosine‐vector and overlap measures for similarity appear to recover optimal data relationships among the documents of the five sets. MLE assumptions appear to be required to model the data adequately.
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://doi.org/10.1002/(SICI)1097-4571(1999)50:83.0.CO;2-C
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:50:y:1999:i:8:p:639-651
Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571
Access Statistics for this article
More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().